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Agentic AI and alpha

AI has long supported systematic investing through machine learning, natural language processing and pattern recognition. Agentic AI could take this further by helping investment teams screen ideas, monitor signals, test hypotheses and support portfolio review.

But alpha does not come simply from model access. The real differentiator may lie in the workflow around the model: data quality, validation history, portfolio constraints, mandate boundaries and human sign-off.

Authors

    Head of Next Gen Research

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Verken agentische AI in vijf belangrijke thema's binnen vermogensbeheer

AI-beleggen: terug naar school

Agentic AI in vermogensbeheer

Vermogensbeheerders gaan verder dan generatieve AI-tools en maken de overstap naar agentic AI-systemen die workflows kunnen ondersteunen, taken kunnen monitoren en kunnen helpen bij gedefinieerde acties.

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